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A large annotated corpus for learning natural language inference

A large annotated corpus for learning natural language inference

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2015
21 August 2015
Samuel R. Bowman
Gabor Angeli
Christopher Potts
Christopher D. Manning
ArXiv (abs)PDFHTML

Papers citing "A large annotated corpus for learning natural language inference"

50 / 2,429 papers shown
Title
Language models show human-like content effects on reasoning tasks
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Ishita Dasgupta
Andrew Kyle Lampinen
Stephanie C. Y. Chan
Hannah R. Sheahan
Antonia Creswell
D. Kumaran
James L. McClelland
Felix Hill
ReLMLRM
387
209
0
14 Jul 2022
Language Modelling with Pixels
Language Modelling with PixelsInternational Conference on Learning Representations (ICLR), 2022
Phillip Rust
Jonas F. Lotz
Emanuele Bugliarello
Elizabeth Salesky
Miryam de Lhoneux
Desmond Elliott
VLM
243
55
0
14 Jul 2022
Forming Trees with Treeformers
Forming Trees with TreeformersRecent Advances in Natural Language Processing (RANLP), 2022
Nilay Patel
Jeffrey Flanigan
AI4CE
251
4
0
14 Jul 2022
Fuse It More Deeply! A Variational Transformer with Layer-Wise Latent
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Fuse It More Deeply! A Variational Transformer with Layer-Wise Latent Variable Inference for Text GenerationNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022
Jinyi Hu
Xiaoyuan Yi
Wenhao Li
Maosong Sun
Xing Xie
198
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13 Jul 2022
Improving Wikipedia Verifiability with AI
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Fabio Petroni
Samuel Broscheit
Aleksandra Piktus
Patrick Lewis
Gautier Izacard
...
Timo Schick
Pierre-Emmanuel Mazaré
Armand Joulin
Edouard Grave
Sebastian Riedel
154
18
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08 Jul 2022
Discourse-Aware Graph Networks for Textual Logical Reasoning
Discourse-Aware Graph Networks for Textual Logical ReasoningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Yinya Huang
Lemao Liu
Kun Xu
Meng Fang
Liang Lin
Xi Liang
NAI
169
8
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VL-CheckList: Evaluating Pre-trained Vision-Language Models with
  Objects, Attributes and Relations
VL-CheckList: Evaluating Pre-trained Vision-Language Models with Objects, Attributes and Relations
Tiancheng Zhao
Tianqi Zhang
Mingwei Zhu
Haozhan Shen
Kyusong Lee
Xiaopeng Lu
Jianwei Yin
VLMCoGeMLLM
254
110
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An Understanding-Oriented Robust Machine Reading Comprehension Model
An Understanding-Oriented Robust Machine Reading Comprehension Model
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Yongkang Liu
Bochao Li
Shilei Liu
Bingchao Wang
Yuan Liu
Chunchao Liu
Qi Ma
128
3
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longhorns at DADC 2022: How many linguists does it take to fool a
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Venelin Kovatchev
Trina Chatterjee
Venkata S Govindarajan
Jifan Chen
Eunsol Choi
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K. Erk
Matthew Lease
Junyi Jessy Li
Yating Wu
Kyle Mahowald
AAMLELM
156
11
0
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Trial2Vec: Zero-Shot Clinical Trial Document Similarity Search using
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Zifeng Wang
Jimeng Sun
141
29
0
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Behavior Transformers: Cloning $k$ modes with one stone
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Nur Muhammad (Mahi) Shafiullah
Zichen Jeff Cui
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Lerrel Pinto
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249
319
0
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Towards Unsupervised Content Disentanglement in Sentence Representations
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Towards Unsupervised Content Disentanglement in Sentence Representations via Syntactic Roles
G. Felhi
Joseph Le Roux
Djamé Seddah
DRL
115
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0
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KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in
  Low-Resource NLP
KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in Low-Resource NLPInternational Conference on Learning Representations (ICLR), 2022
Yufei Wang
Jiayi Zheng
Can Xu
Xiubo Geng
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140
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A Self-Guided Framework for Radiology Report Generation
A Self-Guided Framework for Radiology Report GenerationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Jun Li
Shibo Li
Ying Hu
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MedIm
148
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Methods for Estimating and Improving Robustness of Language Models
Methods for Estimating and Improving Robustness of Language ModelsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022
Michal Stefánik
129
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0
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DialogueScript: Using Dialogue Agents to Produce a Script
DialogueScript: Using Dialogue Agents to Produce a Script
Patrícia Schmidtová
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Christián Miklávs
Tomáš Musil
Rudolf Rosa
Ondrej Dusek
93
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PInKS: Preconditioned Commonsense Inference with Minimal Supervision
PInKS: Preconditioned Commonsense Inference with Minimal Supervision
Ehsan Qasemi
Piyush Khanna
Qiang Ning
Muhao Chen
ReLMLRM
219
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Language Models are General-Purpose Interfaces
Language Models are General-Purpose Interfaces
Y. Hao
Haoyu Song
Li Dong
Shaohan Huang
Zewen Chi
Wenhui Wang
Shuming Ma
Furu Wei
MLLM
159
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Towards Scalable Hyperbolic Neural Networks using Taylor Series
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Towards Scalable Hyperbolic Neural Networks using Taylor Series Approximations
Nurendra Choudhary
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88
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Plot Writing From Pre-Trained Language Models
Plot Writing From Pre-Trained Language ModelsInternational Conference on Natural Language Generation (INLG), 2022
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148
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Improving Contrastive Learning of Sentence Embeddings with Case-Augmented Positives and Retrieved NegativesAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022
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133
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Extracting Similar Questions From Naturally-occurring Business
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Xiliang Zhu
David Rossouw
Shayna Gardiner
Simon Corston-Oliver
40
0
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03 Jun 2022
Cross-View Language Modeling: Towards Unified Cross-Lingual Cross-Modal
  Pre-training
Cross-View Language Modeling: Towards Unified Cross-Lingual Cross-Modal Pre-trainingAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Yan Zeng
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Ao Luo
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VLM
233
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IDANI: Inference-time Domain Adaptation via Neuron-level Interventions
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Omer Antverg
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OODAI4CE
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The Contribution of Lyrics and Acoustics to Collaborative Understanding
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The Contribution of Lyrics and Acoustics to Collaborative Understanding of MoodInternational Conference on Web and Social Media (ICWSM), 2022
Shahrzad Naseri
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EMS: Efficient and Effective Massively Multilingual Sentence Embedding
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A Multi-level Supervised Contrastive Learning Framework for Low-Resource
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Shuang Li
Xuming Hu
Li Lin
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Lijie Wen
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Augmenting Scientific Creativity with an Analogical Search Engine
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Prompting ELECTRA: Few-Shot Learning with Discriminative Pre-Trained
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Ves Stoyanov
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Learning Dialogue Representations from Consecutive Utterances
Learning Dialogue Representations from Consecutive UtterancesNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022
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Wei Xiao
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Penguins Don't Fly: Reasoning about Generics through Instantiations and
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On the Paradox of Learning to Reason from Data
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Forecasting COVID-19 Caseloads Using Unsupervised Embedding Clusters of
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